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Volumn 32, Issue 17, 2005, Pages 1-5

A global 0.05° maximum albedo dataset of snow-covered land based on MODIS observations

Author keywords

[No Author keywords available]

Indexed keywords

IMAGING TECHNIQUES; INTERFACIAL ENERGY; MATHEMATICAL MODELS; SATELLITES; SENSORS; SNOW; SOLAR RADIATION; SPECTROMETERS;

EID: 27544467156     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2005GL022881     Document Type: Article
Times cited : (48)

References (13)
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  • 2
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  • 3
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    • et al. D01104, doi:10.1029/2004JD005190
    • Gao, F., et al. (2005), MODIS bidirectional reflectance distribution function and albedo Climate Modeling Grid products and the variability of albedo for major global vegetation types, J. Geophys. Res., 110, D01104, doi:10.1029/2004JD005190.
    • (2005) J. Geophys. Res. , vol.110
    • Gao, F.1
  • 4
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    • Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer data
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  • 5
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    • doi:10.1029/2001GL014132
    • Jin, Y., C. B. Schaaf, F. Gao, X. Li, A. Strahler, X. Zeng, and R. E. Dickinson (2002), How does snow impact the albedo of vegetated land surfaces as analyzed with MODIS data?, Geophys. Res. Lett., 29(10), 1374, doi:10.1029/2001GL014132.
    • (2002) Geophys. Res. Lett. , vol.29 , Issue.10 , pp. 1374
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  • 6
    • 0029833818 scopus 로고    scopus 로고
    • Estimation of surface albedo from NOAA AVHRR data in high latitudes
    • Ser. A
    • Laine, V., and M. Heikinheimo (1996), Estimation of surface albedo from NOAA AVHRR data in high latitudes, Tellus, Ser. A, 48, 424-441.
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  • 7
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    • The multi-institutional North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
    • doi:10.1029/2003JD003823
    • Mitchell, K. E., et al. (2004), The multi-institutional North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res., 110, D07S90, doi:10.1029/2003JD003823.
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  • 8
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    • (1985) J. Clim. Appl. Meteorol. , vol.24 , pp. 402-411
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  • 9
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.